Hello Learners, In this Post, you will find **NPTEL Data Mining Assignment 8 Week 8 Answers 2023**. All the Answers are provided below to help the students as a reference donâ€™t straight away look for the solutions.

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## NPTEL Data Mining Assignment 8 Answers 2023:

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#### Q.1. Target variable in Regression is _________

#### Q.2. Regression is used in:

- a. predictive data mining
- b. exploratory data mining
- c. descriptive data mining
- d. explanative data mining

#### Q.3. Regression finds out the model parameters which produces the least square error between â€“

- a. input value and output value
- b. input value and target value
- c. output value and target value
- d. model parameters and output value

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#### Q.4. Consider x_{1}, x_{2}Â to be the independent variables and y to be the dependent variable, which of the following represents a linear regression model?

- a. y = a
_{0}Â + a_{1}/x_{1}Â + a_{2}/x_{2} - b. y = a
_{0}Â + a_{1}x_{1}Â + a_{2}x_{2} - c. y = a
_{0}Â + a_{1}x_{1}Â + a_{2}x_{2}^{2} - d. y = a
_{0}Â + a_{1}x_{12Â }+ a_{2}x_{2}

#### Q.5.** **The linear regression model y = a_{0}Â + a_{1}x is applied to the data in the table shown below. What is the value of the sum squared error function S(a_{0}, a_{1}), when a_{0}Â = 1, a_{1}=2 ?

#### Q.6. The linear regression model y = a_{0}Â + a_{1}x is to be fitted to the data in the table shown below. What is the optimal regression model obtained by minimizing sum squared error?

- a. y = 1.01 â€“2.10x
- b. y = 1.01 +2.10x
- c. y = 1.01 â€“ 0.98x
- d. y = 1.01 + 0.98x

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#### Q.7. In the figures below the training instances are described by dots. The blue dotted lines indicate the actual functions and the red lines indicate the regression model. Which of the following statement is correct?

- a. Figure 1 represents overfitting and Figure 2 represents underfitting
- b. Figure 1 represents underrfitting and Figure 2 represents overfitting
- c. Both Figure 1 and Figure 2 represents underfitting
- d. Both Figure 1 and Figure 2 represents overfitting

#### Q.8. Find the eigenvalues of the following matrix

- a. 1,3
- b. 2,3
- c. 1,2,3
- d. Eigenvalues cannot be found.

#### Q.9. A time series prediction problem is often solved using?

- a. Multivariate regression
- b. Autoregression
- c. Logistic regression
- d. Sinusoidal regression

#### Q.10. In principal component analysis, the projected lower dimensional space corresponds to â€“

- a. subset of the original co-ordinate axis
- b. eigenvectors of the data covariance matrix
- c. eigenvectors of the data distance matrix
- d. orthogonal vectors to the original co-ordinate axis

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**Disclaimer**: This answer is provided by us only for discussion purpose if any answer will be getting wrong donâ€™t blame us. If any doubt or suggestions regarding any question kindly comment. The solution is provided byÂ **Brokenprogrammers**. This tutorial is only for Discussion andÂ LearningÂ purpose.

#### About NPTEL Data Mining Course:

Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. Finally, case studies on industrial problems will be demonstrated.

#### Course Layout:

**Week 1:**Â Introduction, Data PreprocessingÂ**Week 2:**Â Association Rule Mining, Classification Basics**Week 3:**Â Decision Tree, Bayes Classifier, K nearest neighborÂ**Week 4:**Support Vector Machine, Kernel MachineÂ**Week 5:**Â Clustering, Outlier detectionÂ**Week 6:**Â Sequence miningÂ**Week 7:Â**Evaluation, Visualization.Â**Week 8:**Â Case studiesÂ

**CRITERIA TO GET A CERTIFICATE**:

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.

Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

**YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.**

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